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Masculinities and violence: using latent class analysis to investigate the origins and correlates of differences between men in the cross-sectional UN Multi-country Study on men and violence in Asia and the Pacific

BACKGROUND: Multiple masculinities have been explicated through latent class analysis (LCA) in South Africa, and a question arises as to whether men can be similarly grouped by their behaviour in very different cultural contexts, and whether an analysis would point to similar origins to men’s use of...

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Autores principales: Jewkes, Rachel, Jordaan, Esme, Myrttinen, Henri, Gibbs, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: International Society of Global Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774029/
https://www.ncbi.nlm.nih.gov/pubmed/33437463
http://dx.doi.org/10.7189/jogh.10.020439
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author Jewkes, Rachel
Jordaan, Esme
Myrttinen, Henri
Gibbs, Andrew
author_facet Jewkes, Rachel
Jordaan, Esme
Myrttinen, Henri
Gibbs, Andrew
author_sort Jewkes, Rachel
collection PubMed
description BACKGROUND: Multiple masculinities have been explicated through latent class analysis (LCA) in South Africa, and a question arises as to whether men can be similarly grouped by their behaviour in very different cultural contexts, and whether an analysis would point to similar origins to men’s use of violence against women. The UN Multi-country Study on Men and Violence in Asia and the Pacific’s data set enabled this question to be explored. METHODS: In nine sites in six countries, data were collected from one man (18-49 years) interviewed in each of a random sample of households. Using LCA, we categorised men based on their probability of having engaged in 10 acts of violence against women or other illegal or sexually risky behaviour. We present multinomial logistic regression models of factors associated with class membership and associated childhood and trauma experiences. RESULTS: The LCA model with 5 classes fitted best: the largest class (59.5% of men) had the lowest probabilities of engagement in the class-defining acts; men in the second (21.2%) were otherwise law abiding and not sexually risky, but very violent towards partners; men in the third (7.9%) had the highest probability of engagement in all violent and illegal behaviour; men in the fourth (7.8%) demonstrated behaviour at the nexus of sex and power including rape and transacted sex; and men in the fifth (3.6%), engaged in anti-social behaviour, but were less violent towards women and sexually risky. Assignment to more violent classes was associated with poverty, substance abuse and depression, and more gender inequitable attitudes and practices. Child abuse, neglect and bullying were associated with being in the more violent classes. Neither men’s domestic practices nor their fathers’ presence in their childhood were associated with class. CONCLUSIONS: Closely paralleling the South African findings, we have highlighted the childhood origins of men’s violent and anti-social behaviour, as well as the interrelationships with men’s mental health, poverty and misogyny, showing that these (intersectional) developmental processes transcend culture and setting. We need to prevent children’s exposure to violence, and in gender transformative work with men, recognise and address past and present psychological distress stemming from trauma experience.
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spelling pubmed-77740292021-01-11 Masculinities and violence: using latent class analysis to investigate the origins and correlates of differences between men in the cross-sectional UN Multi-country Study on men and violence in Asia and the Pacific Jewkes, Rachel Jordaan, Esme Myrttinen, Henri Gibbs, Andrew J Glob Health Articles BACKGROUND: Multiple masculinities have been explicated through latent class analysis (LCA) in South Africa, and a question arises as to whether men can be similarly grouped by their behaviour in very different cultural contexts, and whether an analysis would point to similar origins to men’s use of violence against women. The UN Multi-country Study on Men and Violence in Asia and the Pacific’s data set enabled this question to be explored. METHODS: In nine sites in six countries, data were collected from one man (18-49 years) interviewed in each of a random sample of households. Using LCA, we categorised men based on their probability of having engaged in 10 acts of violence against women or other illegal or sexually risky behaviour. We present multinomial logistic regression models of factors associated with class membership and associated childhood and trauma experiences. RESULTS: The LCA model with 5 classes fitted best: the largest class (59.5% of men) had the lowest probabilities of engagement in the class-defining acts; men in the second (21.2%) were otherwise law abiding and not sexually risky, but very violent towards partners; men in the third (7.9%) had the highest probability of engagement in all violent and illegal behaviour; men in the fourth (7.8%) demonstrated behaviour at the nexus of sex and power including rape and transacted sex; and men in the fifth (3.6%), engaged in anti-social behaviour, but were less violent towards women and sexually risky. Assignment to more violent classes was associated with poverty, substance abuse and depression, and more gender inequitable attitudes and practices. Child abuse, neglect and bullying were associated with being in the more violent classes. Neither men’s domestic practices nor their fathers’ presence in their childhood were associated with class. CONCLUSIONS: Closely paralleling the South African findings, we have highlighted the childhood origins of men’s violent and anti-social behaviour, as well as the interrelationships with men’s mental health, poverty and misogyny, showing that these (intersectional) developmental processes transcend culture and setting. We need to prevent children’s exposure to violence, and in gender transformative work with men, recognise and address past and present psychological distress stemming from trauma experience. International Society of Global Health 2020-12 2020-12-19 /pmc/articles/PMC7774029/ /pubmed/33437463 http://dx.doi.org/10.7189/jogh.10.020439 Text en Copyright © 2020 by the Journal of Global Health. All rights reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License.
spellingShingle Articles
Jewkes, Rachel
Jordaan, Esme
Myrttinen, Henri
Gibbs, Andrew
Masculinities and violence: using latent class analysis to investigate the origins and correlates of differences between men in the cross-sectional UN Multi-country Study on men and violence in Asia and the Pacific
title Masculinities and violence: using latent class analysis to investigate the origins and correlates of differences between men in the cross-sectional UN Multi-country Study on men and violence in Asia and the Pacific
title_full Masculinities and violence: using latent class analysis to investigate the origins and correlates of differences between men in the cross-sectional UN Multi-country Study on men and violence in Asia and the Pacific
title_fullStr Masculinities and violence: using latent class analysis to investigate the origins and correlates of differences between men in the cross-sectional UN Multi-country Study on men and violence in Asia and the Pacific
title_full_unstemmed Masculinities and violence: using latent class analysis to investigate the origins and correlates of differences between men in the cross-sectional UN Multi-country Study on men and violence in Asia and the Pacific
title_short Masculinities and violence: using latent class analysis to investigate the origins and correlates of differences between men in the cross-sectional UN Multi-country Study on men and violence in Asia and the Pacific
title_sort masculinities and violence: using latent class analysis to investigate the origins and correlates of differences between men in the cross-sectional un multi-country study on men and violence in asia and the pacific
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7774029/
https://www.ncbi.nlm.nih.gov/pubmed/33437463
http://dx.doi.org/10.7189/jogh.10.020439
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